Author

Anik Saha

Bangladesh University of Engineering and TechnologyPrimary ORCID profile (0009-0009-5587-6775 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Anik SahaiD1 paper · Bangladesh University of Engineering and Technology

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:electronic health records· 1 Organism:human· 1 Organism:mouse· 1

Frequent Co-Authors

Abrar Rahman AbiriD· 1 shared Md. Shamsuzzoha BayzidiD· 1 shared Ruwad Naswan· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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1 shared paperNeuroscience

Abrar Rahman AbirORCID

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1 paper

Recent·Most cited

ConnectoFM: A Foundation Model for Learning the Language of the Connectome

Abrar Rahman Abir, Anik Saha, Ruwad Naswan, Md. Shamsuzzoha Bayzid

ConnectoFM is a foundation model for connectomics that outperforms existing methods in low-data regimes and improves accuracy for critical biological structures.

bioRxiv · Jun 10, 2026 · PreprintNeuroscience